Progcap

About the Company:

Progcap is a Fintech and AI company that pioneers alternative credit scoring for small businesses using proprietary data from non-traditional sources. We aim to fuel credit to 100 million under-banked SMEs in the emerging markets worldwide with an initial focus on India.

Progcap is Sequoia-backed Series A startup, comprising of top tier talent from finance, technology, data science and operations. The Company is the recipient of the World Bank's "SME Product Innovation of the year", 2018 award, Madrid.

What you will be doing:

• Lead and provide first level supervision to project teams and ensures successful delivery of tasks assigned to the team along with sharing of project updates & related communication with stakeholders.
• Writing and ensuring reusable, testable, and efficient code.
• Managing data across multiple databases and providing analysis to stakeholders.
• Design and implementation of low-latency, high-availability, and performant applications.
• Implementation of security and data protection (permission classes and middleware.)
• Implementation of user authentication and authorization across multiple systems, servers, and environments.

 

What you bring:

• Should have minimum 4 years of experience in development using Python and 1 year in leading Python based projects.
• Strong experience in Application lifecycle management – development, testing and deployment.
• Strong understanding and experience with code version control tools (git, svn, etc.)
• Expert in Python with working experience on Django, AWS, Lambda, RDS, NoSQL, Docker, Kubernetes.
• Integration of data storage solutions redis, postgresql, mysql (big query, big table, pubsub, appengine).
• Strong in data structures and algorithms
• Preferably candidates with Financial/lending Applications development experience with any Fintech Co.

 

 

 

What you will do:
As a Data Science Lead, you will be working on creating industry first analytical and propensity models to
help discover the information hidden in vast amounts of data, and make smarter decisions to deliver
even better customer experience. Your primary focus will be in applying data mining techniques, doing
statistical analysis, and building high quality prediction systems integrated with our products.

➢ Working with business and leadership teams to gathering and analyse structured and unstructured data
➢ Data mining using state-of-the-art methods
➢ Enhancing data collection procedures to include information that is relevant for building analytic
systems
➢ Processing, cleansing, and verifying the integrity of data used for analysis
➢ Doing ad-hoc analysis and presenting results in a clear manner
➢ Creating automated anomaly detection systems and constant tracking of its performance
➢ Creation and evolution of an efficient BI pipeline into a multi-faceted pipeline to support various
modelling needs.

What we are looking for:

➢ 5-8 years of relevant experience, preferably in financial services industry.
➢ A bachelors / master’s degree in the field of Statistics, Mathematics, Computer Science or
Management from Tier 1 Institutes.
➢ Data warehousing experience will be a plus.
➢ Good conceptual understanding of statistics and probability.
➢ Experience in developing dashboards and reports using BI tools.